Sustainable Operations in the Age of AI and Big Data. Este artículo no está disponible.Sustainable Operations in the Age of AI and Big Data

Big data analytics and intelligent technologies transform operations and service practices for enhanced sustainability. As industries adopt environmentally and socially responsible practices, the integration of advanced data-driven techniques presents opportunities to optimize resource efficiency, reduce waste, and improve ethical sourcing. AI, machine learning, IoT, and predictive analytics revolutionize procurement practices and supply chain management. However, challenges emerge in data privacy, interoperability, and scalability. Further exploration into organizational SDGs may reveal new avenues for businesses to maintain operational competitiveness while being mindful of their environmental footprint. Sustainable Operations in the Age of AI and Big Data explores how IoT-generated big data, integrated with advanced analytics, AI, and machine learning, enables sustainable industrial operations across manufacturing, logistics, and warehousing. It addresses implementation challenges, practical applications, and conceptual foundations. This book covers topics such as smart manufacturing, sustainable development, and cybersecurity, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.

Dr. Mohammad Kamrul Hasan obtained his Ph.D. in Management Science and Engineering from Shijiazhuang Tiedao University, Hebei, China, in 2024. Prior to this, he earned his second Master's degree in Business Administration in China. Currently, he serves at the School of Business Administration, Tongling University, Tongling, Anhui, China, where he is actively involved in teaching, research, and supervising undergraduate students. He teaches Qualitative and Quantitative Research Methodology, fostering both theoretical knowledge and practical skills among students. Dr. Hasan’s research focuses on logistics management, green and sustainable logistics, explainable AI (XAI) in supply chain management, supply chain analytics, big data analytics, decision-making, and research methodologies. In addition to his research, Dr. Hasan actively contributes to the academic community as a reviewer for numerous journals.

Md. Mehedi Hasan Emon is a research practitioner in business and management, with specializing in supply chain management, digital transformation, marketing, & information systems. His research extensively explores the integration of emerging technologies in business ecosystems, focusing on AI- driven innovation and behavioral responses to technology adoption. His scholarly contributions include journal articles, conference papers, and book chapters. He focuses on AI adoption, digital supply chain integration, sustainability performance, green innovation, cybersecurity behavior, and AI-enabled marketing systems, and serves as a peer reviewer for international journals and publishers. His research interests span AI, sustainable supply chains, digital transformation, green marketing, consumer trust, cybersecurity adoption, and technology acceptance, with a focus on how AI reshapes organizational capabilities, enhances sustainability outcomes, influences consumer behavior, and transforms strategic decision-making. Through academic excellence, grant-funded research, industry analytics expertise, and international collaboration, he advances evidence-based, technology-enabled, and innovation-driven development in Bangladesh and beyond.

Dr. Arbia Hlali is a doctor of economics science from the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia. She holds a master of transport and logistics sciences from the higher Institute of industrial management of Sfax, Tunisia. Currently, she is an Assistant Professor at Taibah University, Saudi Arabia. She has international experience in teaching, earlier worked at University of Puerto Rico at Rio Piedras, San Juan, Puerto Rico, and prior to that at different Universities in Tunisia. Her research interests include Logistics, Supply Chain, Transport Economics, Management, Maritime Transport, Transport Management, Transportation Science, Containers port, Port Management, Advanced Econometrics, Standard Statistical Analysis, Operation Management, strategic Management, Sustainability, among others. She is a prolific researcher and has several publications in renowned journals and books. She works also as editor and reviewer in several international journals.

Tahsina Khan is serving as Deputy Director (Research) at the Centre for Higher Studies and Research in Bangladesh University of Professionals (BUP). In addition, she is also serving as the Assistant Editor of the BUP Journal. Over the years, she has successfully supervised multilateral academic programs in collaboration with the government, NGOs, and corporations from the business sector. As a visiting lecturer, she has taught in the MBA program of the University of Gavle, Sweden. Her research papers were presented at national and international conferences in Canada, France, Malaysia, and Indonesia.